Proposed Security Model and Threat Taxonomy for the Internet of Things (IoT)

Babar, Sachin D.; Mahalle, Parikshit N.; Stango, Antonietta; Prasad, Neeli R.; Prasad, Ramjee

doi:10.1007/978-3-642-14478-3_42

Cited by 200 publications

(112 citation statements)

References 6 publications

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“…Although the literature on security-related topics related to the IoT environment is still in its infancy, there is a substantial body of work that investigates the security considerations that are critical fulfilling the security requirement in IoT applications [2,4,12,22,33,37]. Most of research has agreed that all common aspects of information security requirements (e.g., CIA triad) must be considered from the initial stage of IoT system design and development.…”

Section: Security Requirements For Iot Servicementioning

confidence: 99%

Security assessment framework for IoT service

Park

Shin

2016

Telecommun Syst

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What are the critical requirements to be considered for the security measures in Internet of Things (IoT) services? Further, how should those security resources be allocated? To provide valuable insight into these questions, this paper introduces a security assessment framework for the IoT service environment from an architectural perspective. Our proposed framework integrates fuzzy DEMATEL and fuzzy ANP to reflect dependence and feedback interrelations among security criteria and, ultimately, to weigh and prioritize them. The results, gleaned from the judgments of 38 security experts, revealed that security design should put more importance on the service layer, especially to ensure availability and trust. We believe that these results will contribute to the provision of more secure and reliable IoT services.Keywords Internet of Things · Security requirement · Security assessment · Fuzzy set theory The information age, created by the rapid advancement of information and communications technology (ICT) and the widespread adoption of wireless technologies, has presented an exciting new capability for both humans and diverse applications to extend the interconnectivity through the new dimension of "things" communication and integration [21]. Cisco predicts that by 2020, 50 billion things will be connected to the Internet via Internet of Things (IoT) technologies, generating revenues in excess of $19 trillion for industries worldwide [32].

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Section: Security Requirements For Iot Servicementioning

confidence: 99%

Security assessment framework for IoT service

Park

Shin

2016

Telecommun Syst

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“…They identified the main challenges for such systems: adaptation according to the profile of the patient; requirements of quality of service and reliability; issues of privacy, security, and authentication; mobility and low energy consumption; and integration with web services. Babar et al [11] give an overview, analysis, and taxonomy of security and privacy challenges in IoT and propose the Security Model for the IoT. Venckauskas et al [12] present the energy efficient SSL protocol that ensures the maximum bandwidth and the required level of security with minimum energy consumption.…”

Section: Related Workmentioning

confidence: 99%

A Model-Driven Framework to Develop Personalized Health Monitoring

et al. 2016

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Both distributed healthcare systems and the Internet of Things (IoT) are currently hot topics. The latter is a new computing paradigm to enable advanced capabilities in engineering various applications, including those for healthcare. For such systems, the core social requirement is the privacy/security of the patient information along with the technical requirements (e.g., energy consumption) and capabilities for adaptability and personalization. Typically, the functionality of the systems is predefined by the patient's data collected using sensor networks along with medical instrumentation; then, the data is transferred through the Internet for treatment and decision-making. Therefore, systems creation is indeed challenging. In this paper, we propose a model-driven framework to develop the IoT-based prototype and its reference architecture for personalized health monitoring (PHM) applications. The framework contains a multi-layered structure with feature-based modeling and feature model transformations at the top and the application software generation at the bottom. We have validated the framework using available tools and developed an experimental PHM to test some aspects of the functionality of the reference architecture in real time. The main contribution of the paper is the development of the model-driven computational framework with emphasis on the synergistic effect of security and energy issues.

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“…The evaluation of trust on the basis of TRM systems, facilitates to make a rational decision about selection of an agent to an interaction, especially when agents which could act selfishly or maliciously are present. Because of that TRM systems could lead to risk reduction in interactions between autonomous agents [1]. The idea behind trust and reputation management systems gets significance because of the fact that conventional security measures (based on cryptography) are often not sufficient [2], [3], [4].…”

Section: Introductionmentioning

confidence: 99%

Towards an Evaluation Model of Trust and Reputation Management Systems

Janiszewski

2017

International Journal of Electronics and Telecommunications

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Abstract-The paper presents a set of concepts which can establish a basis for the creation of new evaluation model of trust and reputation management systems (TRM). The presented approach takes into account essential characteristics of such systems to provide an assessment of its robustness. The model also specifies measures of effectiveness of trust and reputation systems. There is still a need to create a comprehensive evaluation model of attacks on trust and reputation management systems and evaluation model of TRM systems itself, which could facilitate establishing a framework to deeply evaluate the security of existing TRM systems. We believe that this paper could be perceived as a small step forward towards this goal.

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Proposed Security Model and Threat Taxonomy for the Internet of Things (IoT)

Cited by 200 publications

References 6 publications

Security assessment framework for IoT service

Security assessment framework for IoT service

A Model-Driven Framework to Develop Personalized Health Monitoring

Towards an Evaluation Model of Trust and Reputation Management Systems

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